The DIGIMAN project involves the development of innovative sensory tools and solutions for the characterization of the cutting process and of the machining output, tools for virtual modeling and interpretative / decision-making functionalities based on artificial intelligence.
The project activities, divided into these three macro areas of development, will give rise to a series of hardware-software modules integrated with each other.
This architecture will deal with the acquisition, processing, structuring and consolidation of data (Data Module / History Module); whether they come from the machine or from the sensory solutions that will be developed ad-hoc (i.e. Advanced tool and Inspection System). These elaborations will then be the basis for giving rise to any control actions directed towards the machine (Reasoning Module).
Thanks to the synergistic exploitation of data and models, a module (Digital Twin Module), with relative updating functions, will be responsible for generating a virtual representation of the machined piece, an extreme meaning of the perceptive capabilities desirable for a CPS.
Finally, within the Virtual Operator Module, the interpretative capacity will be introduced through machine learning algorithms, which is now the prerogative of expert operators only; allowing the machine to inference about the process and train inexperienced personnel.
DIGIMAN's goal is to create a prototype of a Cyber-Physical system that declines the functionality of the Augmented Manufacturing Platform AMP to an industrial case study. In particular, it is planned to develop a “Cyber” module, also called AMP, and to integrate it into a machining center for chip removal. It is also planned to develop innovative sensor tools and solutions for the characterization of the cutting process and machining output, and to operate control and direct implementation actions.